Thesis (Doctoral)--Technischen Universität des Saarlandes, 2004. / Includes bibliographical references (p. 241-255) and index.

Thesis (M.Eng.(Control Engineering)--University of Pretoria, 2003. / Abstract in English. Includes bibliographical references.

Thesis (Ph.D.) - University of Queensland, 2005. / Includes bibliography.

Thesis (Ph.D.)--University of Florida, 2005. / Title from title page of source document. Document formatted into pages; contains 111 pages. Includes vita. Includes bibliographical references.

Thesis (Ph. D.)--Oregon Graduate Center, 1987.

Research report presented to SBL, Unisa, Midrand. / No abstract / Graduate School of Business Leadership / MBL

Orientador: Celso Kazuyuki Morooka / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica / Made available in DSpace on 2018-07-23T20:08:04Z (GMT). No. of bitstreams: 1 Mendes_JoseRicardoPelaquim_M.pdf: 6979997 bytes, checksum: cb7b7cacbcb91fb76e57ca2cad3585fc (MD5) Previous issue date: 1998 / Resumo: Uma série de trabalhos desenvolvidos com o uso do conceito de Sistemas Inteligentes Distribuídos, criando agentes de raciocínio fornecido por especialistas em diversas áreas do Petróleo, implementadas em um shell específico (Kards), tem vislumbrado um grande potencial do uso desta tecnologia no ramo do Petróleo. Na seleção de brocas para a perfuração de poços de Petróleo, o objetivo é alcançar um mínimo custo métrico, sendo a seleção na prática realizada através de poços de correlação e na própria experiência do engenheiro de perfuração. O uso de métodos analíticos geralmente necessitam de informações expendiosas além de ser uma tarefa árdua devido a complexibilidade do problema. Nesta dissertação é apresentado um método de preservação do conhecimento especializado no processo de seleção de brocas tricônicas através de redes neurais, lógica nebulosa e ferramentas disponíveis no Sistema Kards. Este trabalho serviu de base para arquitetar um Sistema Inteligente para o auxílio de seleção de brocas tricônicas, sendo útil também em termos de treinamento de novos engenheiros / Abstract: A series of works developed using the concept of Distributed Intelligent Systems, creating agents of reasoning provided by experts in several areas of Petroleum, structured in a specific shell (Kards), has glimpsed a great potencial of this technology in Petroleum sector. ln the bit selection to drill oil well, the objective is to obtain a minimum metric cost, being the selection in practice realized using correlation wells and in drilling engineers experience. The use of analytical methods usually needs extensive informations and moreover it is hard job owing to complexity of the problem. ln the thesis is presented a method of preservations of specialized knowledge jn triconics drills selection process using neural nets, fuzzy logic and available tools in the Kards System. This work was a base to construct an lntelligent System for the assistance of triconics drills selection, being also useful to fit to training of engineers / Mestrado / Mestre em Engenharia de Petróleo

M.Com. (Computer Auditing) / Knowledge-based systems (KBS's) is one of the new and emerging technologies, and it is expected to impact dramatically on the information systems of the 1990's. As many of these systems impact business operations and have significant financial influence, auditors should be involved in the implementation of this emerging technology and should review it for the presence and continued operation of effective controls. Because this technology up to now has been tried only in limited environments, the relevant risk, control and audit issues are not always clearly defined. The objective of this essay will be to identify the risks, controls and audit considerations in a knowledge-based system environment, with special reference to neural networks. As neural networks have got the ability to modify themselves without any human intervention, this can have major audit implications - a topic which has not been dealt with before by the audit community.

M.Com. (Informatics) / Please refer to full text to view abstract

M.Ing. (Mechanical Engineering) / Please refer to full text to view abstract